Scientific Research Personnel Research Articles

Site selection of Antarctic Research Stations in aspect of required optimum hybrid renewable system capacity

The population of Antarctica consists of scientific research personnel. The number of residents ranges from about 1,100 in the winter to about 4,400 in the summer and up to 1,000 additional personnel in the nearby waters. Even in summer, Antarctica's sub-zero temperature increases the energy consumption of buildings for heating purposes. At the same time, the absence of a grid system necessitates the use of off-grid fossil-based or renewable energy systems. Considering the natural environment and building conditions in the studies, the multiple evaluation of the ground process for research stations is grouped into four main criteria: scientific research, environment, logistical support and topography. In these studies, the capacity of the renewable energy system requirement was not examined. For this reason, in this study, the capacities of the optimum hybrid renewable energy systems in 16 locations selected from different regions of Antarctica were compared. In the study, typical meteorological climate data of 15 locations were obtained. The daily energy demand is obtained by calculating the daily electricity consumption of the electrical devices and heating system that can be used. Results of this study shows that according to purpose of the site, many locations that meets the requirements may exist with extremely different energy demands. In site selection, first the possile locations that supply the requirements should be determined, than energy demands and required systems should be compared.

Preliminary Design and Construction Database for Laboratory Accidents

With the growth of university chemistry experiment projects, the corresponding laboratory safety risks are increasing year by year for scientific research personnel, and specialized equipment. However, accident data are not stored systematically for lack of a safety platform to collect accident information, share the causes of accidents, and predict safety risks. To solve these problems, we designed a laboratory accident system to store and share related data, and predict risk levels. In this paper, the majority of chemistry laboratory accidents were manually collected by Python software (version 3.10.11) and were categorized based on their risk level. Moreover, the variable factors that generated risk were analyzed using Spsspro, which facilitates the construction of a meaningful forecasting model of laboratory safety via Stata. It is worth noting that the registered laboratory accident data in the proposed chemistry accident system were based on the data ownership safety architecture. The chemistry accident system can break through data barriers using confirmation and authorization key algorithms to trace non-tampered data sources in a timely manner when an emergency accident happens. Meanwhile, the proposed system can use our designed accident risk model to predict the risk level of any experimental project. It can also be recommended as an appropriate safety education module.

Comparison of Detection Schemes for Different Types of Dark Matter Candidate

Dark matter is one of the most concerning topics in frontier physics today, through continuously exploring scientific research personnel, people gradually have a certain knowledge of the dark matter, about a potential way of detecting dark matter particles. However, the researchers found that still lack of unified cognition, therefore the research topic of this article is to compare different state-of-art ways and scenarios to explore the dark matter particles. To be specific, direct detection, the way in indirect detection and the way collision detection. By comparing the merits and demerits of historical dark matter detection methods, this study tries to summarize more effective ways of observing dark matter. According to the analysis, the most successful scenarios that has been carried out right now is the direct detection. These findings provide useful information for directing future research that could improve the current conventional particle model or, as proposed by Einstein a century ago, open up new physics horizons. These results shed light on guiding further exploration of searching dark matter.

Export of high-tech goods in the context of innovation transfer for social-economic development: factor analysis

The purpose of the study is to determine factors that have the greatest influence on the growth of export of high-tech goods in the context of innovation transfer for social-economic development. Factor analysis tools, including principal component analysis and the Varimax rotation (orthogonal transformation) method in Statgraphics software, are used to identify the most significant indicators of the impact on export of high-tech goods, as a key determinant characterizing the quality of scientific and educational potential, and to determine the latent signs of their interaction. A modified logistic function is used to normalize input data for 11 investigated factors in a sample of 28 countries. Ten linear combinations of variables are obtained, which explain most of the data variability. The first four components have eigenvalues greater than or equal to 1.0. Together, they account for 88.520% of the variability of the original data. After orthogonal transformation by the Varimax method, the factor load matrix is obtained. The econometric models, which describes the influence of independent indicators on the export of high-tech goods, are represented. Next, the four most influential indicators from the 11 investigated factors are revealed, namely: the country’s research and development expenditure, GDP in current prices, research staff and researchers in the sector of business enterprises, the percentage of ICT staff from total employment. They are taken to develop multiple linear regression models, which describes the influence of independent indicators on the effective export of high-tech goods. The quality results of the factor analysis are confirmed using the Kaiser-Meier-Olkin test and the Bartlett test. Regression analysis with strict screening of non-significant variables using the Backward Stepwise Selection tool confirms the significance of the indicator of scientific research personnel and researchers in the sector of business enterprises, which has the greatest impact on the export of high-tech goods. A pair regression model is obtained, and it is confirmed that increase of research staff and researchers in the sector of business enterprises by 1% causes increase of export of high-tech goods in average by 0,73%.

Spatial Interactions and the Commercialisation of Academic Patents: The Chinese Experience

Studies on academic patent commercialisation are well documented. However, spatial effects are seldom considered, which could lead to potentially misleading analytical results. This study addresses this concern by applying the spatial analysis method to investigate how university-level factors and commercialising academic patents are related. Using a comprehensive dataset of university patents from 1815 Chinese universities in 2016, we find that public research funding of universities, industrial research funding, the number of scientific research personnel, the number of monographs published, and the number of awarded achievements are positively related to the commercialisation of academic patents. However, the number of teaching and research personnel and the number of academic papers published are negatively related. There are positive spatial spillover effects in commercialising academic patents among neighbouring universities, but there will be negative spatial spillover effects in funding competition.

Problems and Countermeasures in the Management of Scientific Research Project Funds in Colleges and Universities

In recent years, my country has vigorously promoted the "delegation, regulation and service" of scientific and technological project management, and various government departments have successively formulated a number of preferential policies for deepening the reform of the scientific research project funding management system, striving to use policy and mechanism innovation to promote the innovation of scientific and technological talents. However, at present, there are still a series of problems in China's higher education, such as the lack of the right to use scientific research personnel funds, the imperfect performance evaluation and accountability system. This paper analyzes and discusses the management of higher education scientific research plan funds based on the problem, provides suggestions for reform measures of higher education scientific research program funds management, and provides reference for higher education research management staff.

Conceptual Design of an Extended Reality Exercise Game for the Elderly

Facing the increasingly serious ageing problem, IT technology is being applied more and more to alleviate the increasing health demands of the elderly. Virtual reality (VR) games, in particular, have been shown to benefit the physical and mental health of the elderly. However, almost all consumer-level VR games address the general user, not considering the characteristics of the elderly, such as their particular needs regarding cognitive aspects and safety. In addition, the existing VR rowing games’ research typically focuses on athlete training or is based on a rowing machine. Extending on previous research, this paper proposes a conceptual design of a VR rowing game, VRrowing to provide a home exercise game for the elderly which benefits both physical and mental health. This research first analysed the relevant literature and existing VR exercise games for the elderly to find characteristics and their particular needs. Then, following design principles (in exercise games, human–computer interaction, and user interfaces (UIs)) for the elderly, this study proposed a conceptual design of VRrowing through the MDA framework (standing for mechanics, dynamics, and aesthetics). The results cover the system architecture, activities and tasks, patterns and roles, mechanics and structures, and UI examples. Based on comprehensive consideration of the results from relevant research and fostering strengths and circumventing weaknesses, VRrowing was designed as a sports game, aimed at the elderly according to their characteristics and needs, which fills the void of home VR rowing games for seniors’ exercise. This research has reference value for scientific research or development personnel in VR game applications and evaluations, especially for such games targeting the elderly.

Advances in Pathogenesis, Progression, Potential Targets and Targeted Therapeutic Strategies in SARS-CoV-2-Induced COVID-19.

As the new year of 2020 approaches, an acute respiratory disease quietly caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also known as coronavirus disease 2019 (COVID-19) was reported in Wuhan, China. Subsequently, COVID-19 broke out on a global scale and formed a global public health emergency. To date, the destruction that has lasted for more than two years has not stopped and has caused the virus to continuously evolve new mutant strains. SARS-CoV-2 infection has been shown to cause multiple complications and lead to severe disability and death, which has dealt a heavy blow to global development, not only in the medical field but also in social security, economic development, global cooperation and communication. To date, studies on the epidemiology, pathogenic mechanism and pathological characteristics of SARS-CoV-2-induced COVID-19, as well as target confirmation, drug screening, and clinical intervention have achieved remarkable effects. With the continuous efforts of the WHO, governments of various countries, and scientific research and medical personnel, the public’s awareness of COVID-19 is gradually deepening, a variety of prevention methods and detection methods have been implemented, and multiple vaccines and drugs have been developed and urgently marketed. However, these do not appear to have completely stopped the pandemic and ravages of this virus. Meanwhile, research on SARS-CoV-2-induced COVID-19 has also seen some twists and controversies, such as potential drugs and the role of vaccines. In view of the fact that research on SARS-CoV-2 and COVID-19 has been extensive and in depth, this review will systematically update the current understanding of the epidemiology, transmission mechanism, pathological features, potential targets, promising drugs and ongoing clinical trials, which will provide important references and new directions for SARS-CoV-2 and COVID-19 research.

Research on the Influencing Factors of Scientific Researchers' Integrity Based on Grounded Theory

At present, the issue of scientific research integrity has become a hot issue of common concern to academia and the public, and scientific research personnel' research misconduct has always been the focus prevention area of scientific research integrity, so it is the key to prevent and curb breach of trust from the source. This study conducts semi-structured interviews with 26 scientific researchers, uses rooted theories to encode the original data, and constructs an analysis framework for theinfluencing factors of scientific research credibility from four dimensions: scientific research literacy, personal literacy, resource environment and institutional policies. Research shows that the personal accomplishment and scientific research literacy of scientific researchers are internal driving factors that directly determine the frequency and intensity of their scientific research dishonesty behaviour. The resource environment and system policy are external driving factors that indirectly affect the scientific research credibility of scientific researchers. The research results provide countermeasures and ideas for further standardising the behaviour of scientific researchers and creating a healthy academic environment.

Measuring the academic influence of geological research institutions based on international awards

Aiming at the problem of insufficient consideration of the dimensions of scientific research personnel in the evaluation of academic influence of existing scientific research institutions, the data of international award winners is used as an index to evaluate the academic influence of scientific research institutions, and an empirical analysis of global geology from the dimensions of data collection, indicator analysis and model construction. Based on the 23 important international awards set by 18 international academic organizations of geology, the information of 229 winners was collected for empirical analysis. The research results show that the top five countries in terms of the number of international award winners are the United States, the United Kingdom, Canada, Australia, and Italy. 229 winners were distributed among 140 institutions. The institution with the largest number of awards was the U.S. Geological Survey, with a total of 12 awardees.

Landscape habitat occupancy and distribution of the Wild Ground Pangolin (Smutsia temminckii) in Zimbabwe’s Protected Areas (PAs)

The Smutsia temminckii is the only species of pangolin known to exist in Zimbabwe and is considered vulnerable under the IUCN Red List of threatened species. Distribution of wild S. temminckii in protected areas (PAs) and associated environmental variables are not well defined in Zimbabwe. The study sort to relate key environmental variables (Altitude, rainfall, temperature and vegetation type) to habitat occupancy and distribution of S. temminckii. Data was collected from forty-eight stations based on S.temminckii sightings historical records spanning ten years (2011-2021) done by field rangers, tourists and scientific services research personnel. A review of available literature was done from online sources and station records. A distribution map based on S. temminckii sightings across various PAs in Zimbabwe was developed for this study. Results of this study reveal that S. temminckii occupy PAs in South East low-veld areas, Northwestern Zimbabwe, Mid Zambezi Valley and Nyanga NP. No historical data on S. temminckii sighting in central PAs located in ecological regions IIa, IIb and III of Zimbabwe. Climatic conditions associated with S. temminckii distribution, except for Nyanga NP, are average temperatures above 220C and rainfall between 400mm to 900mm per annum. Landscapes ideal for S. temminckii habitat occupancy have an altitude between 262m-2000m above sea level. Associated vegetation types for habitat occupancy of S. temminckii are the Zambezian and mopane woodlands as well as montane forest grasslands mosaic of Nyanga NP. Future studies should focus on establishing distribution of S. temminckii outside PA, population status and density to inform conservation of this rare and unique species around Zimbabwe.

Research on the Relationship Between H Index Ranking Evaluation Method and Comprehensive Ranking Based on Big Data Statistics

The h index of universities can quantitatively calculate the scale of high-level scientific research personnel in universities, and evaluate the academic influence of universities from a new perspective. It has the advantages of simplicity, intuition, and visibility, but there are also some problems. Based on this research background, the paper uses big data statistical methods to conduct an in-depth theoretical analysis of the problems existing in the h-index of universities. The results show that the h index and other ranking indexes are effective in the academic evaluation of colleges and universities. And the correlation analysis between their comprehensive rankings and various evaluation indicators shows that the correlation between the rankings of various indexes and the comprehensive rankings is higher than that of SCI included rankings.

The Method of Measuring the Agglomeration Degree of High-Tech Industries and Its Influence Mechanism: Taking Guangdong Province as an Example

This paper selects the Herfindahl–Hirschman index and the Moran index to study the overall agglomeration and spatial distribution of high-tech industries in Guangdong, a province of China. The location entropy, dynamic agglomeration index, and output value share are also used in this study to measure the agglomeration and changes that occur in high-tech industries in various cities of Guangdong Province. The relevant data of high-tech industries for the province is collected between 2013 and 2018. Our results show that Guangdong Province’s overall agglomeration of high-tech industries strengthened between 2013 and 2018, but industrial transfer occurred within the cities in the Pearl River Delta region to a certain extent. Regional international trade, R&D investment and patent output of the whole society, number of local scientific research personnel, economies of scale, communication level, and local taxation policies are the main factors contributing to the changes in the agglomeration of high-tech industries. Guangdong should create an open environment to increase R&D investment and expand the scale of R&D personnel and economy as well as strengthening intellectual property protection and communication level. Preferential taxation policies should be also implemented to accelerate the agglomeration of high-tech industries.

Application of Electromagnetic Navigation Bronchoscopy in the early diagnosis and treatment of lung cancer: a narrative review.

The diagnosis of lung cancer has long been a problem facing clinicians worldwide, and the emergence of electromagnetic navigation bronchoscopy (ENB) has played a critical role in the early diagnosis of lung cancer. Compared with other types of biopsy techniques (e.g., transthoracic needle biopsy, bronchoscopy, thoracoscopic biopsy, and thoracotomy), ENB guarantees high diagnostic accuracy and safety. In recent years, with the continuous development of ENB technology, the scope of its epitaxy has also expanded. This technology is no longer a simple auxiliary diagnosis test but an innovative technology that simultaneously assists in surgical treatment, opening new avenues of research for the treatment of early-stage lung cancer. However, ENB, as a human-mediated operating system, has some limitations and uncertainties in its actual clinical application and promotion, which need to be addressed as we continue to develop ENB technology. In response to the bottleneck in developing ENB technology in current clinical diagnosis and treatment, relevant scientific research and development personnel and clinicians have also performed continuing exploration and improvement of methods. However, to completely overcome the limitations of ENB, more technological innovations are needed. In this review, we describe the current major clinical application directions, application advantages, and limitations of ENB.

Regional difference and convergence analysis of marine science and technology innovation efficiency in China

Based on panel data of 11 coastal provinces and cities in China during 2006–2015, stochastic frontier analysis(SFA) is used to calculate the efficiency of marine science and technology innovation in this study. Then, the regional differences and influencing factors of this efficiency are analyzed, and finally, a panel unit root test method is used to conduct a stochastic convergence analysis of the efficiency of marine science and technology innovation. According to the results, the overall marine science and technology innovation efficiency shows an upward trend during the statistical period and substantially differs among the 11 coastal provinces and cities. Among them, the 10-year average efficiency of marine science and technology innovation in Shandong province is the highest. In addition, there is a significant negative relation between the degree of government support and efficiency of marine science and technology innovation. The scale of marine scientific research institutions, structure of scientific research personnel, development degree of marine economy, and structure of marine industry have significant positive impacts on the marine scientific and technology innovation efficiency. In summary, there is no stochastic convergence among the Bohai Rim, Yangtze River Delta, and Pan-Pearl River Delta regions. Expanding the scale of marine scientific research institutions and promoting the development of senior personnel in the marine industry, development of marine secondary industries, and integration of marine science and technology innovation with economic development are expected to play positive roles in improving the marine science and technology innovation efficiency.

How to construct clinical laboratory of the hospital in post epidemic time

A novel coronavirus pneumonia outbreak in the world. The epidemic of the new coronavirus pneumonia has been preliminarily controlled successfully in China. At this time, how to construct the clinical laboratory in the hospital? This artical puts some forward thoughts, such as improve the construction of biological safety protection ability, detection ability, test platform construction, scientific research ability construction, personnel training and clinical communication ability, etc. These above advices could provide reference for the development direction of the clinical laboratory in post epidemic era.

Algorithm and Simulation of Association Rules of Drug Relationship Based on Network Model

Studying drug relationships can provide deeper information for the construction and maintenance of biomedical databases and provide more important references for disease treatment and drug development. The research model has expanded from the previous focus on a certain drug to the systematic analysis of the pharmaceutical network formed between drugs. Network model is suitable for the study of the nonlinear relationship of the pharmaceutical relationship by modeling the data learning. Association rule mining is used to find the potential correlations between the various sets of massive data. Therefore, based on the network model, this research proposed an algorithm for drug interaction under improved association rules, which achieved accurate analysis and decision-making of drug relationship. Meanwhile, this research applied the established association rule algorithm to discuss the relationship between Chinese medicine and mental illness medicine and conducted the algorithm research and simulation analysis of the association relationship. The results showed the association rule algorithm based on the network model constructed was better than other association algorithms. It had reliability and superiority in decision-making in improving the drug-drug relationship. It also promoted the rational use of medicines and played a guiding role in pharmaceutical research. This provides scientific research personnel with research basis and research ideas for disease-related diagnosis.

Empirical Research on the Interaction between Marine Scientific and Technological Innovation and Marine Economic Development

Yu, D. and Zou, Z., 2020. Empirical research on the interaction between marine scientific and technological innovation and marine economic development. In: Yang, D.F. and Wang, H. (eds.), Recent Advances in Marine Geology and Environmental Oceanography. Journal of Coastal Research, Special Issue No. 108, pp. 7–11. Coconut Creek (Florida), ISSN 0749-0208.Scientific and technological innovation is of great significance to marine economic growth. This study selected marine technology innovation and marine economic growth data from 2005 to 2017 of Hainan Province, China, and constructed a vector autoregressive model to conduct an empirical analysis of the interactive relationship between marine technological innovation and marine economic growth in Hainan. The results show that there is a significant co-integration relationship between investment in scientific and technological innovation and economic growth. The growth of Hainan's marine economy is the Granger cause for the increase in the number of scientific researchers in area marine scientific institutions; the increase in marine scientific research personnel and the increase of marine scientific research funding in turn will drive marine economy development. Based on the above conclusions, corresponding policy suggestions are proposed from the perspective of the government's top-level design, personnel training and introduction system, and marine intellectual property protection, to boost the high-quality development of Hainan's marine economy.

Analysis of Researchers’ Internal Working Network

In this paper, we adopt social network analysis technology to construct the working network of the scientific research personnel, working in the isolated network environment of a military research institute, based on the integrated edge data obtained by processing three groups of work records including emails, meetings and travels, and then we complete the calculations of indicators including Degree centrality, Closeness centrality, Betweenness centrality and Eigenvector centrality. Finally, we evaluate the performance of scientific research personnel, explore the working relationship between them, and find out who is working abnormally, which provides a new method for staff appraisal.

Research on the Evaluation of the Quality of Medical Research Project Funds Use

The illegal use of scientific research funds may lead to serious consequences such as “corruption crime”, which not only causes the loss of national scientific research funds, but also ruins the personal future of scientific researchers. Establish the evaluation model of the use quality of scientific research funds, scientifically select evaluation indicators, and establish the weight of indicators, so as to quantify the use quality evaluation of project funds, and originally put forward the “corrective calculation”. The evaluation indictor can effectively guide scientific research personnel to use scientific research funds rationally and prevent the negligent behavior of scientific research funds.